-------------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /users/andkje/dropbox/working_and_voting/Replicationfiles_female_employment/results/log_of_results.log
  log type:  text
 opened on:   1 Aug 2022, 11:56:16

. set scheme s1mono

. 
. global controls0="gp_totpop gp_SC gp_ST gp_M_LIT gp_F_LIT GP_primary_middle  GP_phc  GP_tapwater  GP_communication GP_paved  GP_electricity hindus_14 musli
> ms_14 avg_elec1217"  

. global controls="gp_totpop gp_SC gp_ST gp_M_LIT gp_F_LIT GP_primary_middle GP_phc  GP_tapwater  GP_communication  GP_paved  GP_electricity hindus_14 muslim
> s_14 avg_elec1217 turnout_female14 turnout_male14"   

. global cluster ac_block_id       

. eststo clear

. 
. 
. ************* Install commands **********
. cap ssc install  parmest

. cap ssc install carryforward

. **************************************
. 
. 
. **************************************
. **Table 1: NREGS employment and voter turnout
. **************************************
. quietly {

. 
. noisily esttab T1c1 T1c2 T1c3 T1c4 T1c5 T1c6 T1c7, ///
>         keep(ihs_NREGAdiff_female1613 ihs_NREGAdiff_male1613 std_inter q2 q3 q4 ) order(ihs_NREGAdiff_female1613 ihs_NREGAdiff_male1613 std_inter q2 q3 q4)
>   s(N r2 mean_depvar controls lagged) label nomtitles starlevels(* 0.10 ** 0.05) 

-----------------------------------------------------------------------------------------------------------------------------
                              (1)            (2)            (3)            (4)            (5)            (6)            (7)  
-----------------------------------------------------------------------------------------------------------------------------
IHS Female workdays        0.0872**       0.0812**       0.0853**       0.0776**        0.126**       0.0241                 
                           (2.91)         (2.73)         (3.36)         (3.09)         (2.95)         (0.96)                 

IHS change male w~20                                                                                                 0.0350  
                                                                                                                     (1.29)  

std_inter                                                              -0.0713**                                             
                                                                       (-3.17)                                               

q2                                                                                     0.0481                                
                                                                                       (0.73)                                

q3                                                                                    -0.0420                                
                                                                                      (-0.62)                                

q4                                                                                     -0.191**                              
                                                                                      (-2.79)                                
-----------------------------------------------------------------------------------------------------------------------------
N                           50490          50490          50490          50007          50007          50490          50490  
r2                          0.167          0.174          0.493          0.494          0.495          0.484          0.484  
mean_depvar                 4.944          4.944          4.944          4.944          4.944         -1.668         -1.668  
controls                       No            Yes            Yes            Yes            Yes            Yes            Yes  
lagged                         No             No            Yes            Yes            Yes            Yes            Yes  
-----------------------------------------------------------------------------------------------------------------------------
t statistics in parentheses
* p<0.10, ** p<0.05

. 
. 
. 
. **************************************
. **Table 2: Regressions based on Prillaman (2021) dataset
. **************************************
. quietly {

. 
. noisily esttab  T2c1 T2c2 T2c3 T2c4 T2c5 T2c6, keep(ihs_NREGAdiff_female1312 ihs_NREGA_female_pc1516) order(ihs_NREGAdiff_female1312 ihs_NREGA_female_pc151
> 6)  se s(N r2) label nomtitles starlevels(* 0.10 ** 0.05 *** 0.01) 

--------------------------------------------------------------------------------------------------------------------
                              (1)             (2)             (3)             (4)             (5)             (6)   
--------------------------------------------------------------------------------------------------------------------
IHS Female workdays         1.069**                                                                                 
                          (0.494)                                                                                   

IHS Female workday~a                       0.0436*          0.418***        0.104*          0.172*          0.134*  
                                         (0.0260)         (0.128)        (0.0590)        (0.0913)        (0.0756)   
--------------------------------------------------------------------------------------------------------------------
N                             152            2645            2645            2645            2645            2645   
r2                          0.881          0.0958          0.0506           0.132           0.166           0.100   
--------------------------------------------------------------------------------------------------------------------
Standard errors in parentheses
* p<0.10, ** p<0.05, *** p<0.01

. 
. 
. ***************************************************             
. **Table A1: Characteristics of missing observations
. ***************************************************     
. use "$dir/data/sample_tableA1.dta",clear

. matrix tabA1=J(19,2,.)

. qui {

. 
. mat list tabA1

tabA1[19,2]
                 Sample    Missing
     Panel_A          .          .
NREGS_sample  2743.1757  2462.1823
           N      44085      13965
Polling_bo~e  3032.2213  2367.8064
           N      26890      31160
Estimation~e  2998.1278  2491.1684
           N      21116      36934
     Panel_B          .          .
Femal~201314  781.04272  670.96151
Femal~201617  975.58619  841.11059
Males_201314  2692.7536  2454.7548
Males_201617  1982.5403  1723.1496
           N      21116      22969
     Panel_C          .          .
Female_~2014  59.879963  59.601283
Female_~2017  64.824039  64.472172
Male_tu~2014   63.52961  62.860613
Male_tu~2017  61.861676   61.07023
           N      50490      12395

. 
. 
. 
. 
.         
. ************************************    
. **Table A2: Placebo regressions
. ************************************    
. qui {

. 
. noisily esttab  TA2c1 TA2c2 ,keep(ihs_NREGAdiff_card1613  ihs_NREGAdiff_female1618) order(ihs_NREGAdiff_card1613  ihs_NREGAdiff_female1618) se s(N r2) labe
> l nomtitles starlevels(* 0.10 ** 0.05 *** 0.01) 

----------------------------------------------------
                              (1)             (2)   
----------------------------------------------------
IHS Job card appli~s       0.0329                   
                         (0.0479)                   

IHS Future female ~s                      -0.0392   
                                         (0.0299)   
----------------------------------------------------
N                           50490           50490   
r2                          0.493           0.493   
----------------------------------------------------
Standard errors in parentheses
* p<0.10, ** p<0.05, *** p<0.01

. 
. 
. 
. **************************************
. **Table A3: Balancing
. **************************************
. 
. use "$dir/data/estimation_sample.dta",clear

. qui {

. 
. mat list tabA3

tabA3[48,1]
                       _
     Panel_A           .
Turnout_male  -.00184639
           _   .01447155
Turnout_fe~s  -.00166924
           _   .01343052
Eligble_vo~s   .01021104
           _   .01134623
      Hindus   .00416449
           _   .01418309
     Muslims   .01042119
           _   .01784491
           N       50490
     Panel_B           .
Total_popu~n  -.00158361
           _    .0245209
Schedule_c~s  -.02655576
           _   .02290341
Schedule_t~s  -.00842523
           _   .01988074
Male_liter~s  -.00733181
           _   .02573445
Female_lit~s  -.01135871
           _   .02495078
           N       50490
     Panel_C           .
      School  -.02098129
           _   .02096467
Primary_he~r  -.00030246
           _   .02241465
Electritic~y  -.02013432
           _   .02592916
   Tap_water   .02229397
           _   .02595722
 Paved_roads   .03595678
           _   .02131062
Bus_train_~y  -.01467474
           _   .02339131
           N       50490
     Panel_D           .
Turnout_2012   .01204759
           _   .01747234
           N       48972
Avg_consum~n  -.05269008
           _   .02884825
           N       49668
Female_emp~e  -.00595448
           _   .02023228
           N       48454

. 
. qui areg ihs_NREGAdiff_female1613 $controls ,cluster(GP_id) robust a(ac_block_id)

. disp "F-stat all controls:   " e(F)
F-stat all controls:   .87290827

. 
. qui areg ihs_NREGAdiff_female1613 $controls turnout12 gp_consumption  GP_ec_female_ratio ,cluster(GP_id) robust a(ac_block_id)

. disp "F-stat all controls and extra variables:   " e(F)
F-stat all controls and extra variables:   .899705

. 
. 
. 
. ************************************    
. **Table A4: Dynamics
. ************************************    
. qui {

. 
. noisily esttab  TA4,keep(ihs_NREGAdiff_female1718 ihs_NREGAdiff_female1617 ihs_NREGAdiff_female1516 ihs_NREGAdiff_female1415 ihs_NREGAdiff_female1314 ihs_N
> REGAdiff_female1213 ihs_NREGAdiff_female1112) order(ihs_NREGAdiff_female1718 ihs_NREGAdiff_female1617 ihs_NREGAdiff_female1516 ihs_NREGAdiff_female1415 ihs
> _NREGAdiff_female1314 ihs_NREGAdiff_female1213 ihs_NREGAdiff_female1112) se s(N r2) label nomtitles starlevels(* 0.10 ** 0.05 *** 0.01) 

------------------------------------
                              (1)   
------------------------------------
IHS 2018-19               -0.0116   
                         (0.0443)   

IHS 2017-18               0.00487   
                         (0.0428)   

IHS 2016-17                0.0661*  
                         (0.0393)   

IHS 2015-16                 0.131***
                         (0.0396)   

IHS 2014-15                0.0887***
                         (0.0342)   

IHS 2013-14               -0.0137   
                         (0.0452)   

IHS 2012-13                0.0219   
                         (0.0350)   
------------------------------------
N                           50490   
r2                          0.494   
------------------------------------
Standard errors in parentheses
* p<0.10, ** p<0.05, *** p<0.01

. 
.          
.  
. ************************************             
. **Table A5: Functional form
. ************************************    
. qui {

. 
. noisily esttab  TA5c1 TA5c2 TA5c3,keep(log_NREGAdiff_female1613 simple_NREGAdiff_female1613) order(log_NREGAdiff_female1613 simple_NREGAdiff_female1613) se
>  s(N r2 Outliers) label nomtitles starlevels(* 0.10 ** 0.05 *** 0.01) 

--------------------------------------------------------------------
                              (1)             (2)             (3)   
--------------------------------------------------------------------
Log female employm~t       0.0959***                                
                         (0.0275)                                   

Diff female employ~t                     0.000117***     0.000148***
                                      (0.0000418)     (0.0000554)   
--------------------------------------------------------------------
N                           50490           50490           50257   
r2                          0.494           0.493           0.493   
Outliers                       No              No             Yes   
--------------------------------------------------------------------
Standard errors in parentheses
* p<0.10, ** p<0.05, *** p<0.01

. 
.          
.          
. ************************************    
. **Table A6: Robustness: alternative NREGA measures
. ************************************    
. qui {

. 
. noisily esttab  TA6c1 TA6c2 TA6c3,keep(ihs_NREGAdiff_female1613 ihs_NREGAdiff_male1613 ) order(ihs_NREGAdiff_female1613 ihs_NREGAdiff_male1613  ) se s(N r2
> ) label nomtitles starlevels(* 0.10 ** 0.05 *** 0.01) 

--------------------------------------------------------------------
                              (1)             (2)             (3)   
--------------------------------------------------------------------
IHS Female workdays                        0.0780*        0.00403   
                                         (0.0431)        (0.0420)   

IHS Male workdays          0.0739***       0.0116          0.0318   
                         (0.0270)        (0.0468)        (0.0461)   
--------------------------------------------------------------------
N                           50490           50490           50490   
r2                          0.493           0.493           0.484   
--------------------------------------------------------------------
Standard errors in parentheses
* p<0.10, ** p<0.05, *** p<0.01

. 
. 
.          
. ************************************    
. **Table A7: Robustness: alternative NREGA measures
. ************************************    
. qui {

. 
. noisily esttab  TA7c1 TA7c2 TA7c3,keep(ihs_NREGAdiff_workers1613 ihs_NREGAdiff_funds1613  ihs_NREGAdiff_days1613 ) order(ihs_NREGAdiff_workers1613 ihs_NREG
> Adiff_funds1613  ihs_NREGAdiff_days1613) se s(N r2) label nomtitles starlevels(* 0.10 ** 0.05 *** 0.01) 

--------------------------------------------------------------------
                              (1)             (2)             (3)   
--------------------------------------------------------------------
IHS Workers                 0.116***                                
                         (0.0425)                                   

IHS Pay                                    0.0854***                
                                         (0.0237)                   

 Workdays                                                  0.0774***
                                                         (0.0263)   
--------------------------------------------------------------------
N                           50490           50490           50490   
r2                          0.493           0.493           0.493   
--------------------------------------------------------------------
Standard errors in parentheses
* p<0.10, ** p<0.05, *** p<0.01

. 
.          
. 
. ************************************             
. **Table A8: Other robustness  
. ************************************    
. qui {

.  
. noisily esttab  TA8c1 TA8c2 TA8c3 TA8c4 TA8c5,keep(ihs_NREGAdiff_female1613) se s(N r2) label nomtitles starlevels(* 0.10 ** 0.05 *** 0.01) 

----------------------------------------------------------------------------------------------------
                              (1)             (2)             (3)             (4)             (5)   
----------------------------------------------------------------------------------------------------
IHS Female workdays         0.105***       0.0942***       0.0813*          0.117***       0.0887***
                         (0.0274)        (0.0333)        (0.0492)        (0.0273)        (0.0237)   
----------------------------------------------------------------------------------------------------
N                           46579           35432           20693           40204           21116   
r2                          0.492           0.498           0.512           0.500           0.569   
----------------------------------------------------------------------------------------------------
Standard errors in parentheses
* p<0.10, ** p<0.05, *** p<0.01

. 
. 
. 
.          
. ************************************     
. **Table A9. Voting patterns
. ************************************    
. qui {

. 
. noisily esttab  TA9c1 TA9c2 TA9c3 TA9c4 TA9c5 TA9c6,keep(ihs_NREGAdiff_female1613) order(ihs_NREGAdiff_female1613) se s(N r2) label nomtitles starlevels(* 
> 0.10 ** 0.05 *** 0.01) 

--------------------------------------------------------------------------------------------------------------------
                              (1)             (2)             (3)             (4)             (5)             (6)   
--------------------------------------------------------------------------------------------------------------------
IHS Female workdays        0.0566**       -0.0269          0.0356         0.00280          0.0372         -0.0337   
                         (0.0231)        (0.0366)        (0.0355)        (0.0363)        (0.0364)        (0.0261)   
--------------------------------------------------------------------------------------------------------------------
N                           44874           44874           44874           44874           44874           44874   
r2                          0.527           0.718           0.755           0.724           0.737           0.707   
--------------------------------------------------------------------------------------------------------------------
Standard errors in parentheses
* p<0.10, ** p<0.05, *** p<0.01

. 
. 
. 
. ************************************     
. *Table A10: "Block"-voting
. ************************************
. qui {

. 
. noisily esttab  TA10c1 TA10c2 ,keep(ihs_NREGAdiff_female1613) se s(N r2 mean_depvar) label nomtitles starlevels(* 0.10 ** 0.05 *** 0.01) 

----------------------------------------------------
                              (1)             (2)   
----------------------------------------------------
IHS Female workdays      -0.00124         -0.0414   
                        (0.00161)        (0.0335)   
----------------------------------------------------
N                           50453           50453   
r2                          0.590           0.338   
mean_depvar               -0.0108          -0.168   
----------------------------------------------------
Standard errors in parentheses
* p<0.10, ** p<0.05, *** p<0.01

. 
. 
. *******************
. *Table A11, time variation Appendix
. *******************
. qui {

. 
. noisily esttab  TA11c1 TA11c2 TA11c3 TA11c4 ,keep(ihs_NREGAdiff_female1312 ihs_NREGAdiff_cards1312  ihs_NREGAdiff_female1413 ihs_NREGAdiff_male1312) order(
> ihs_NREGAdiff_female1312 ihs_NREGAdiff_cards1312  ihs_NREGAdiff_female1413 ihs_NREGAdiff_male1312) se s(N r2) label nomtitles starlevels(* 0.10 ** 0.05 ***
>  0.01) 

------------------------------------------------------------------------------------
                              (1)             (2)             (3)             (4)   
------------------------------------------------------------------------------------
IHS Female workdays         1.069***                                                
                          (0.403)                                                   

IHS Job cards                               1.135                                   
                                          (2.748)                                   

IHS Future workdays                                        -0.656                   
                                                          (0.921)                   

 Male workdays                                                             -0.180   
                                                                          (0.226)   
------------------------------------------------------------------------------------
N                             152             152             152             149   
r2                          0.881           0.871           0.873           0.811   
------------------------------------------------------------------------------------
Standard errors in parentheses
* p<0.10, ** p<0.05, *** p<0.01

. 
. 
. 
. *******************
. *Table A12
. *******************
. qui {

. mat list tabA12, format(%9.3fc)

tabA12[22,2]
               Coefficient  Mean_dep_var
Voted_in_l~n         0.019         0.942
           .         0.011             .
Voted_in_s~n        -0.013         0.782
           .         0.024             .
Nonvoting_~x         0.134         0.864
           .         0.076             .
Attend_vil~g         0.021         0.273
           .         0.023             .
Contact_Pa~r         0.024         0.152
govt_benefit         0.017             .
Submit_app~t        -0.004         0.125
for_services         0.016             .
Contact_bl~t         0.010         0.046
           .         0.008             .
Submit_app~k         0.010         0.044
for_services         0.010             .
Attend_cam~t         0.022         0.079
           .         0.013             .
Motivate_f~n         0.031         0.116
           .         0.015             .
Attend_par~g         0.019         0.029
           .         0.006             .

.         
. 
. *******************
. *Table A13
. *******************
. qui {

. mat list tabA13, format(%9.3fc)

tabA13[24,2]
               Coefficient  Mean_dep_var
         c.\#
c._Friends~e         0.418         2.593
           .         0.128             .
         c.\#
c._Female_~e         0.398         2.530
           .         0.116             .
Would_go_t~t        -0.016         0.592
           .         0.020             .
         c.\#
c._Discuss~h         0.038         1.213
           .         0.060             .
         c.\#
c._People_~e         0.078         1.169
           .         0.058             .
         c.\#
c._Discuss~h         0.104         1.028
           .         0.059             .
Discusses_~y         0.009         0.268
           .         0.018             .
Discusses_~s         0.008         0.248
           .         0.020             .
Mobility_i~x         0.123         3.496
           .         0.078             .
Informatio~x         0.172         4.594
           .         0.091             .
Political_~x        -0.035         1.547
           .         0.047             .
Confidence~x        -0.002         1.543
           .         0.045             .

. 
.         
. *******************
. *Table A14
. *******************
. qui {

. mat list tabA14, format(%9.3fc)

tabA14[36,2]
                      Coefficient  Mean_dep_var
       Assets_index         0.038         1.650
                  .         0.066             .
       Consumptio~x        -0.001         4.102
                  .         0.069             .
       Monthly_ho~e      -238.627     3,510.974
                  .       117.865             .
       Income_suf~y         0.001         0.616
                  .         0.019             .
       Food_Secur~y        -0.027         0.249
                  .         0.017             .
       Time_to_~400         0.035         3.411
                  .         0.091             .
       Decision-m~x         0.131         8.165
                  .         0.123             .
Decide:Whom_to_vo~r         0.003         0.860
                  .         0.013             .
Decide:_Gram_Sabh~e         0.011         0.814
                  .         0.018             .
       Permission~x         0.003         4.221
                  .         0.063             .
       Bargaining~x         0.059         2.078
                  .         0.053             .
       Personally~h        -0.003         0.511
                  .         0.021             .
       Personally~t         0.016         0.686
                  .         0.024             .
       Personally~s        -0.002         0.296
                  .         0.019             .
       Personally~d         0.004         0.093
                  .         0.010             .
       Employed_i~r         0.044         0.490
                  .         0.026             .
       Domestic_v~x         0.002         0.408
                  .         0.029             .
       Verbal_abu~x        -0.003         0.317
                  .         0.029             .

. 
. 
. cap log close   
